... June 30. Quick background: I trade credit spreads and sell premium myself, and got tired of every algo tool being either a black-box cloud SaaS (Composer, TrendSpider) or a blank IDE that assumed I had a quant team (QuantConnect, Lean). AutoQuant is the in-between. Desktop app, AI Loop that iteratively writes and refines strategies for me, runs locally so my data stays mine, and I can drop into Python whenever. What's there today: - AI Loop for equity ...

... feedback on good or bad experiences, or product recommendations are appreciated. Thanks! Comment from May(@mayli8): Alpaca is a solid start for trading APIs. You may also want to explore platforms like TradingView for charting/signals, Finviz for screening, and QuantConnect if you get deeper into AI-driven strategies and backtesting. One thing many people learn the hard way: the AI wrapper products are less important than having a repeatable investing process and clean data sources. The best results usually come ...

... even smart traders make the same statistical mistakes over and over. And the tools out there? They let you do it. Pine Script doesn't stop you from overfitting. Python backtesting libraries don't warn you about data snooping. QuantConnect gives you 16 hours of compute per experiment and zero guardrails on methodology. So we built Varrd. It's not a backtesting tool. It's a system that an LLM gets placed into where it is physically impossible to test ...